Find out what your peers are saying about Red Hat, Amazon Web Services (AWS), VMware and others in Container Management.
With OpenShift combined with IBM Cloud App integration, I can spin an integration server in a second as compared to traditional methods, which could take days or weeks.
Moving to OpenShift resulted in increased system stability and reduced downtime, which contributed to operational efficiency.
Red Hat's technical support is responsive and effective.
Red Hat's technical support is good, and I would rate it a nine out of ten.
I have been pretty happy in the past with getting support from Red Hat.
OpenShift is highly scalable, allowing us to manage thousands of pods effectively.
Red Hat OpenShift scales excellently, with a rating of ten out of ten.
OpenShift's horizontal pod scaling is more effective and efficient than that used in Kubernetes, making it a superior choice for scalability.
I've had my cluster running for over four years.
It provides better performance yet requires more resources compared to vanilla Kubernetes.
It performs well under load, providing the desired output.
Learning OpenShift requires complex infrastructure, needing vCenter integration, more advanced answers, active directory, and more expensive hardware.
Integration with tools like Grafana and Prometheus is necessary for capturing logs.
We should aim to include VMware-like capabilities to be competitive, especially considering cost factors.
Initially, licensing was per CPU, with a memory cap, but the price has doubled, making it difficult to justify for clients with smaller compute needs.
The cost of OpenShift is very high, particularly with the OpenShift Plus package, which includes many products and services.
Red Hat can improve on the pricing part by making it more flexible and possibly on the lower side.
The concept of containers and scaling on demand is a feature I appreciate the most about Red Hat OpenShift.
Compared to other Kubernetes solutions, OpenShift is more enterprise-oriented.
A valuable feature of Red Hat OpenShift is its ability to handle increased loads by automatically adding nodes.
Rancher Labs build innovative, open source software that makes it easy to deploy and manage containers in production on any infrastructure. We enable organizations to accelerate all aspects of their software development pipeline, from writing and testing code to running complex microservices-based applications.
Rancher, our flagship container management platform, allows users to easily manage all aspects of running containers in development and production environments, on any infrastructure. With well over four million downloads, Rancher has quickly become the tools of choice for teams serious about running containers in production. This includes large enterprises such as Sony, IBM, Tyco, Align Technologies and more.
Red Hat OpenShift offers a robust, scalable platform with strong security and automation, suitable for container orchestration, application deployment, and microservices architecture.
Designed to modernize applications by transitioning from legacy systems to cloud-native environments, Red Hat OpenShift provides powerful CI/CD integration and Kubernetes compatibility. Its security features, multi-cloud support, and source-to-image functionality enhance deployment flexibility. While the GUI offers user-friendly navigation, users benefit from its cloud-agnostic nature and efficient lifecycle management. However, improvements are needed in documentation, configuration complexity, and integration with third-party platforms. Pricing and high resource demands can also be challenging for wider adoption.
What are the key features of Red Hat OpenShift?Red Hat OpenShift is strategically implemented for diverse industries focusing on container orchestration and application modernization. Organizations leverage it for migrating applications to cloud-native environments and managing CI/CD pipelines. Its functionality facilitates efficient resource management and microservices architecture adoption, supporting enterprise-level DevOps practices. Users employ it across cloud and on-premises platforms to drive performance improvements.
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